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Data Details

Ecological Vulnerability Classification 1-km Raster Dataset in Qinghai Province of China (2015)


ZHI Zemin1LIU Fenggui*1,2CHEN Qiong1,2ZHOU Qiang1,2
1 School of Geographic Science，Qinghai Normal University，Xining 810008，China2 Academy of plateau Science and Sustainability，Xining 810008，China

DOI:10.3974/geodb.2022.01.04.V1

Published:Jan. 2022

Visitors：1113       Data Files Downloaded：28      
Data Downloaded：4.54 MB      Citations：

Key Words：

Qinghai Province,Ecological Vulnerability,Random Forest,SPR Model

Abstract：

Qinghai Province is located in the alpine region, and its ecosystem is very fragile. The Ecological Vulnerability Classification 1-km Raster Dataset in Qinghai Province of China (2015) was developed based on the data in 2015 and the "SPR" (sensitivity-pressure-resilience) model and stochastic forest model. The data items include slope, elevation, topographic relief, soil erosion sensitivity, land degradation sensitivity, NDVI, average annual temperature, average annual precipitation, population density, etc. Five groups of vulnerability were identified, they were slight, mild, moderate, severe, and extreme. The spatial resolution is 1 km. The dataset is archived in .tif format; it consists of five data files with data size of 1.30 MB (Compressed into one file with 165 KB). The analysis paper was published at the Journal of Qinghai Environment, Vol. 30, No. 4, 2020.

Foundation Item：

Ministry of Science and Technology of P. R. China (2019YFA0606902)

Data Citation：

ZHI Zemin, LIU Fenggui*, CHEN Qiong, ZHOU Qiang. Ecological Vulnerability Classification 1-km Raster Dataset in Qinghai Province of China (2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.01.04.V1.

References：

[1] Tian, Y. P, Chang, H. Bibliometric Analysis of Research Progress on Ecological Vulnerability in China [J].Acta Geographica Sinica, 2012, 67(11): 1515-1525.
     [2] He, Y. L, Yuan, Y. M., Wang T., et al. Integrated assessment of marine ecological vulnerability in the Yangtze River Estuary using GIS [J]. Acta Ecologica Sinica, 2019, 39(11): 3918-3925.
     [3] Wang, R. H., Fan, Z. L. Ecological Fragility Assessment on Continental River Basin in Arid ZoneTaking Tarim River Basin, Xinjiang as An Example [J].Chinese Journal of Ecology,2001, 20(3): 63-68.
     [4] Xue, L. Q., Wang, J., Wei, G. H. Dynamic evaluation of the ecological vulnerability based on PSR modeling for the Tarim River Basin in Xinjiang [J]. Journal of Hohai University(Natural Sciences), 2019, 47(1): 13-19.
     [5] Liu, Z. J., Yu, X. X., Li, L., et al. Vulnerability assessment of eco-environment in Yimeng mountainous area of Shandong Province based on SRP conceptual model [J]. Chinese Journal of Applied Ecology, 2011, 22(8): 2084-2090.
     [6] Lu, H. Y., Sun, G. L., Li, L., et al. Ecological Vulnerability Assessment in Xinjiang Based on VSD Model [J]. Xinjiang Agricultural Sciences, 2020, 57(2): 292-302.
     [7] Zhang, Q., Li, M. Y. Regional ecological vulnerability assessment based on VSD Model - The case of Yanbian Korean Autonomous Prefecture [J]. Agricultural Science Journal of Yanbian University, 2018, 40(4):7-15.
     [8] Yu, B. H., Lv, C. H. Assessment of ecological vulnerability on the Tibetan Plateau[J].Geographical Research, 2011, 30(12): 2289-2295.
     [9] Qiao, Q., Gao, J. X., Wang, W., et al. Method and Application of Ecological Frangibility Assessment [J].Research of Environmental Sciences, 2008, 130(5): 117-123.
     [10] Li, Z. Z., Nawaf r, A., Guang, C. L., et al. Random Forests [J]. Tsinghua Science and Technology, 2018, 23(4): 479-492.
     [11] Markus, R., Gustau, C. V., Bjorn, S., et al. Deep learning and process understanding for data-driven Earth system science [J]. Nature, 2019, 566: 195-204.
     [12] Liu, Y. Y., Di, B. F., Zhan, Y., et al. Debris Flows Susceptibility Assessment in Wenchuan Earthquake Areas Based on Random Forest Algorithm Model [J]. Mountain Research, 2018, 36(05): 765-773.
     

Data Product:

ID Data Name Data Size Operation
1 EcoVul.Qinghai_2015.rar 165.94KB
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